1 intro

Purpose:

  1. Validate runwise ub55 GLMs in terms of marginal HRFs (averaged across conditions) and high-vs-low contrast.
  2. Define target TRs for each task.
  3. Calculate HiLo conjunction effect, and create list of conjunction parcels.

Notes on analyses:

GLMs:

Target TRs:

Contrasts (on regional means):

Plotting and statistical details:

2 Network-level

Estimates are first averaged across parcels within network per subject. Group-level stats and plots are then displayed at the network-level.

2.1 marginal beta estimates (averaged across all trialtypes)

2.2 conditional (per trialtype)

2.3 contrasts

2.3.1 beta estimates

2.3.2 t-statistics

3 Parcel-level

3.1 counts of significant effects per TR

Using t-test of subject parcel means, averaged across run. Negative counts show deactivations.

3.2 contrasts

3.2.1 DMCC 34

3.2.1.1 beta estimates

3.2.1.2 t-statistics

3.2.2 Cross-task conjunction (“DMCC55B parcels”)

Here conjunction analysis is performed by feeding TR-level contrast estimates to an HLM (see description at beginning of doc).

Number of parcels identified, and parcel names:

task n.activated
Axcpt 123
Cuedts 108
Stern 34
Stroop 176
##  [1] "LH_Cont_Par_4"              "LH_Cont_PFCl_6"            
##  [3] "LH_Cont_PFCl_7"             "LH_Cont_PFCmp_1"           
##  [5] "LH_Cont_PFCv_1"             "LH_Default_PFC_10"         
##  [7] "LH_Default_PFC_20"          "LH_Default_PFC_24"         
##  [9] "LH_DorsAttn_Post_10"        "LH_DorsAttn_Post_9"        
## [11] "LH_SalVentAttn_FrOperIns_3" "LH_SalVentAttn_FrOperIns_5"
## [13] "LH_SalVentAttn_FrOperIns_7" "LH_SalVentAttn_FrOperIns_9"
## [15] "LH_SalVentAttn_Med_4"       "LH_Vis_21"                 
## [17] "RH_Cont_Par_6"              "RH_Cont_PFCl_10"           
## [19] "RH_Cont_PFCl_12"            "RH_Cont_PFCl_13"           
## [21] "RH_Cont_PFCl_7"             "RH_Cont_PFCl_9"            
## [23] "RH_Cont_PFCmp_1"            "RH_Cont_PFCmp_2"           
## [25] "RH_Cont_PFCv_1"             "RH_Default_PFCdPFCm_9"     
## [27] "RH_Default_PFCv_4"          "RH_SalVentAttn_FrOperIns_5"
## [29] "RH_SalVentAttn_Med_4"

3.2.3 Curves of “DMCC55B parcels”

3.2.3.1 beta estimates

3.2.3.2 t-statistics

3.3 Brains (contrasts)

NB: colors are reversed (black = high, yellow = low) so large positive effects can be seen on white underlay.

3.3.1 Axcpt

3.3.2 Cuedts

3.3.3 Stern

3.3.4 Stroop

4 Task Profiles across parcels